AIMC Topic: Disease-Free Survival
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Relapses Rates and Patterns for Pathological T0 After Robot-Assisted Radical Cystectomy: Results From the International Robotic Cystectomy Consortium.
Urology
Apr 21, 2022
OBJECTIVES: To investigate the oncologic outcomes of pT0 after robot-assisted radical cystectomy (RARC).
Deep Learning of Rhabdomyosarcoma Pathology Images for Classification and Survival Outcome Prediction.
The American journal of pathology
Apr 4, 2022
Rhabdomyosarcoma (RMS), the most common malignant soft tissue tumor in children, has several histologic subtypes that influence treatment and predict patient outcomes. Assistance with histologic classification for pathologists as well as discovery of...
Machine-learning algorithms predict breast cancer patient survival from UK Biobank whole-exome sequencing data.
Biomarkers in medicine
Oct 15, 2021
We tested whether machine-learning algorithm could find biomarkers predicting overall survival in breast cancer patients using blood-based whole-exome sequencing data. Whole-exome sequencing data derived from 1181 female breast cancer patients with...
A new prognostic score for predicting survival in patients treated with robotic stereotactic radiotherapy for brain metastases.
Scientific reports
Oct 13, 2021
The study aimed to analyze potential prognostic factors in patients treated with robotic radiosurgery for brain metastases irrespective of primary tumor location and create a simple prognostic score that can be used without a full diagnostic workup. ...
Cancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis.
Scientific reports
Aug 18, 2021
Cancer-associated fibroblasts (CAFs) participate in critical processes in the tumor microenvironment, such as extracellular matrix remodeling, reciprocal signaling interactions with cancer cells and crosstalk with infiltrating inflammatory cells. How...
Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma.
Future oncology (London, England)
Aug 10, 2021
Individualized patient profiling is instrumental for personalized management in hepatocellular carcinoma (HCC). This study built a model based on bidirectional deep neural networks (BiDNNs), an unsupervised machine-learning approach, to integrate mu...
Neoplasm Recurrence, Local
Disease-Free Survival
Datasets as Topic
Gene Expression Regulation, Neoplastic
Models, Genetic
DNA Methylation
Liver
Deep Learning
Cohort Studies
Liver Neoplasms
Carcinoma, Hepatocellular
RNA-Seq
Gene Regulatory Networks
RNA, Messenger
Epigenesis, Genetic
Humans
Biomarkers, Tumor
Female
Prognosis
Male
Aged
Middle Aged
Adult
Risk Assessment
Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques.
PloS one
Jul 21, 2021
This paper identifies prognosis factors for survival in patients with acute myeloid leukemia (AML) using machine learning techniques. We have integrated machine learning with feature selection methods and have compared their performances to identify ...
Sex Differences in the Association Between Inflammation and Event-Free Survival in Patients With Heart Failure.
The Journal of cardiovascular nursing
Jul 8, 2021
BACKGROUND: Heart failure (HF) is associated with chronic inflammation, which is adversely associated with survival. Although sex-related differences in inflammation have been described in patients with HF, whether sex-related differences in inflamma...
Predicting breast cancer 5-year survival using machine learning: A systematic review.
PloS one
Apr 16, 2021
BACKGROUND: Accurately predicting the survival rate of breast cancer patients is a major issue for cancer researchers. Machine learning (ML) has attracted much attention with the hope that it could provide accurate results, but its modeling methods a...
Artificial neural networks versus LASSO regression for the prediction of long-term survival after surgery for invasive IPMN of the pancreas.
PloS one
Mar 25, 2021
Prediction of long-term survival in patients with invasive intraductal papillary mucinous neoplasm (IPMN) of the pancreas may aid in patient assessment, risk stratification and personalization of treatment. This study aimed to investigate the predict...
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